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All Journal JRMA (Jurnal Riset Manajemen dan Akuntansi) Jurnal Teknologi Informasi MURA Jurnal Teknologi Informasi Mura Jurnal Administrasi Terapan
Febiola Matuankotta
Politeknik Negeri Ambon
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences Other

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ANALISIS PENGARUH KONFLIK INTERNAL DAN STRESS KERJA TERHADAP SEMANGAT KERJA KARYAWAN PADA KOPERASI PEGAWAI TELKOM (KOPEGTEL) AMBON Febiola Matuankotta
JRMA (Jurnal Riset Manajemen dan Akuntansi) Vol 10, No 2 (2022): Periode Agustus - November
Publisher : Fakultas Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.49 KB) | DOI: 10.33508/jrma.v10i2.1114

Abstract

Penelitian ini bertujuan untuk mengetahui dan menganalisis bagaimana pengaruh konflik internal dan stress kerja terhadap semangat kerja karyawan pada Koperasi Pegawai Telkom (KOPEGTEL) Ambon. Untuk memperoleh data dan informasi maka diambil sampel sebanyak 52 orang responden dengan teknik purposive sampling. Data diperoleh dari penelitian lapangan melalui kuesioner dan wawancara tidak berstruktur. Selain itu data juga diperoleh dari studi kepustakaan melalui bahan kepustakaan yang dikumpulkan berdasarkan teori para ahli yang berhubungan dengan penelitian. Teknik analisa data yang digunakan adalah analisa regresi linear berganda,dan uji asumsi klasik yang kemudian diinterpretasikan. Berdasarkan hasil penelitian dengan uji regresi linear berganda diketahui bahwa konflik internal dan stress kerja berpengaruh negatif terhadap semangat kerja karyawan. Diketahui dari hasil uji regresi linear berganda dimana koefisien regresi konflik internal (-0,287) dan koefisien regresi stress kerja (-0,416) yang berarti arah koefisiennya negatif. Jadi semakin tinggi konflik dan stress kerja semakin rendah semangat kerja karyawan pada KOPEGTEL Ambon. Kebenaran hipotesis diuji dengan uji parameter individual (uji t) dan uji signifikansi simultan (uji f), dan ternyata hasil penelitian  menunjukkan Hipotesis diterima yaitu bahwa konflik internal dan stress kerja berpengaruh signifikan terhadap semangat kerja karyawan pada Koperasi Pegawai Telkom (KOPEGTEL) Ambon.Penelitian ini bertujuan untuk mengetahui dan menganalisis bagaimana pengaruh konflik internal dan stress kerja terhadap semangat kerja karyawan pada Koperasi Pegawai Telkom (KOPEGTEL) Ambon. Untuk memperoleh data dan informasi maka diambil sampel sebanyak 52 orang responden dengan teknik purposive sampling. Data diperoleh dari penelitian lapangan melalui kuesioner dan wawancara tidak berstruktur. Selain itu data juga diperoleh dari studi kepustakaan melalui bahan kepustakaan yang dikumpulkan berdasarkan teori para ahli yang berhubungan dengan penelitian. Teknik analisa data yang digunakan adalah analisa regresi linear berganda,dan uji asumsi klasik yang kemudian diinterpretasikan. Berdasarkan hasil penelitian dengan uji regresi linear berganda diketahui bahwa konflik internal dan stress kerja berpengaruh negatif terhadap semangat kerja karyawan. Diketahui dari hasil uji regresi linear berganda dimana koefisien regresi konflik internal (-0,287) dan koefisien regresi stress kerja (-0,416) yang berarti arah koefisiennya negatif. Jadi semakin tinggi konflik dan stress kerja semakin rendah semangat kerja karyawan pada KOPEGTEL Ambon. Kebenaran hipotesis diuji dengan uji parameter individual (uji t) dan uji signifikansi simultan (uji f), dan ternyata hasil penelitian  menunjukkan Hipotesis diterima yaitu bahwa konflik internal dan stress kerja berpengaruh signifikan terhadap semangat kerja karyawan pada Koperasi Pegawai Telkom (KOPEGTEL) Ambon. This study aims to determine and analyze how the influence of internal conflict and work stress on employee morale at the Telkom Employee Cooperative (KOPEGTEL) Ambon. To obtain data and information, a sample of 52 respondents was taken using purposive sampling technique. Data obtained from field research through questionnaires and unstructured interviews. In addition, data were also obtained from literature studies through library materials collected based on the theories of experts related to the research. The data analysis technique used is multiple linear regression analysis, and the classical assumption test which is then interpreted. Based on the results of research with multiple linear regression, it is known that internal conflict and work stress have a negative effect on employee morale. It is known from the results of multiple linear regression where the internal conflict regression coefficient (-0.287) and the work stress regression coefficient (-0.416) which means the direction of the coefficient is negative. So the higher the conflict and work stress, the lower the employee morale at KOPEGTEL Ambon. The truth of the hypothesis was tested by testing individual parameters (t test) and simultaneous significance test (f test), and the results showed that the hypothesis was accepted, namely that internal conflict and work stress had a significant effect on employee morale at the Telkom Employee Cooperative (KOPEGTEL) Ambon.
RAMALAN PRODUKSI KURSI SOFA PADA MEBEL ERLAN HATIVE BESAR DI KOTA AMBON Aprilian Tampi; Febiola Matuankotta; Grace Fredriksz
Jurnal Administrasi Terapan Vol. 2 No. 1 (2023): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v2i1.1379

Abstract

The purpose of this study is to calculate and analyze the production forecast for sofa chairs at Erlan Furniture for the next 3 year period from 2022-2024. Mebel Erlan is a company furniture sector, that manufacture and sale of sofa chairs according to consumer demand based on the order data obtained. The production of sofa chairs is always increasing in every year. In this study used Linear Trend Analysis with the Least Squares Method using the equation Y = a + bx and to determine the accuracy of known forecasts used Standard Error of Estimate Analysis. From the results of the forecasting analysis it is expected that Erlan Furniture can be used as an input in developing company activities, especially in knowing the number of products that must be produced. The results of the calculated of the Linear Trend Analysis can be seen that the forecast for sofa chair production at Erlan Furniture is that in 2022 there will be 113 Sofa Chair Units, in 2023 there will be 114 sofa chairs, and in 2024 there will be 115 sofa chairs. Standard Error of Estimate Analysis Calculation, shows that the level of error from the results of production forecasting calculations is 14 sofa chairs. These figures can be a reference for Erlan Furniture to plan the number of products that must be produced to fulfill consumer needs. Keyword: Forcasting Production  
ANALISA BREAK EVEN POINT SEBAGAI ALAT PERENCANAAN LABA PADA UD. BATAKO PRESS WAITATIRI RAYA Revelino Tamaela; Sammy Saptenno; Febiola Matuankotta
Jurnal Administrasi Terapan Vol. 4 No. 1 (2025): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v4i1.2867

Abstract

Break Even Point Analysis (BEP) or commonly referred to as the Break Even Point is used to determine the production price or level of sales made by a company. Thus, a company can be at the Break Even Point where it does not experience profit or loss. The purpose of this study is to determine the number of units that must be produced, the profit target of 20% in 2021 and the Margin of Safety at UD. Batako Press Waitatiri Raya. From the results of research and discussion, it is known that the minimum sales volume in units that must be produced by UD. Batako Press Waitatiri Raya amounted to 73.850. Then, the level of sales in rupiah that must be done to get 20% profit in 2021 is Rp. 464.782.500,00 and the Margin of Safety presentation obtained is 61%. From the results of the calculation of the break-even point by planning a profit of 20%, so that UD. Press Waitatiri Raya bricks must sell for Rp. 464.782.500.00 then UD. Batako Press Waitatiri Raya will achieve the profit from the sales target, otherwise if the sales are below the target, the profit will not reach 20%. Then, the Margin of safety presentation should not fall more than 61%. If sales are still around 61% or the maximum decline does not exceed 61%, it can be concluded that the company is still said to be safe or not experiencing losses.
ANALISA BREAK EVEN POINT SOFA MINIMALIS PADA USAHA SOFA GALI PUAN DI KOTA AMBON Abdullah Sombalatu; Febiola Matuankotta; Sherly Rutumalessy
Jurnal Administrasi Terapan Vol. 5 No. 1 (2026): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v5i1.3846

Abstract

Sofa Gali Puan is a business engaged in sofa furniture, which produces minimalist sofas to be sold to consumers and marketed to the public. So far, the amount of profit obtained is not known for sure. Because until now the Sofa Gali Puan business has never calculated the Break Even Point to plan their business profits in the coming period. The purpose of this study is to analyze the production of Minimalist Sofas in achieving Break Even PointIn this study, a quantitative analysis method was used, namely the calculation of break even points in units and rupiah. The results of the research obtained are Break Even Point in the number of units for minimalist sofas in the Gali Puan Sofa Business is 68 sets of minimalist sofas. Break Even Point in rupiah is at Rp.370,555,555.55The conclusion of this writing is that the Gali Puan Business will be at the break-even point or main return point when producing minimalist sofas of 68 sets at a cost of Rp.370,555,555.55. That means that the company is at break-even at that point, so the company doesn't experience any profits or losses. Thus, for the Gali Puan sofa business, it must continue to calculate the Break Even Point to find out what level of sales must be achieved which has an impact on the achievement of profits in the future. Keywords: Break Even Point (BEP)
ANALISA RAMALAN PRODUKSI LEMARI PAKAIAN PADA UD. MEBEL FILKIN DESA WAYAME Janet Beatric Tutuarima; Ashwin Siahainenia; Febiola Matuankotta
Jurnal Administrasi Terapan Vol. 5 No. 2 (2026): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v5i2.4009

Abstract

The purpose of this study was to calculate and analyze the forecast of wardrobe production at Filkin Furniture from January – October 2023. Filkin Furniture is a company engaged in furniture, namely the manufacture and sale of wardrobes according to consumer demand based on the order data obtained. The analysis used in this study is Linear Trend Analysis using the equation formula Y = a + bx and to determine the accuracy of the forecast that has been known using Standard Error of Estimate Analysis (Error Rate). The results of the calculation of the Linear Trend Analysis can be seen that the forecast of wardrobe production in UD. Filkin Furniture is 6 units in December 2023, 6 units in January 2024, and 6 units of wardrobes in February 2024. The Standard Error of Estimate shows that the error rate in production forecasting is as much as 1 wardrobe, so there is a possibility of errors in making this forecast. Thus, it can be seen that the production forecast for the three months is at the same number, namely production of 6 units with a standard error of 1 unit; this can happen because the production data in the previous month has a trend that tends to be the same, resulting in the results of the trend forecasting also being the same. Keywords:  Forecasting Analysis
Klasifikasi Persiapan Keuangan Mahasiswa Tingkat Akhir dalam Menghadapi Dunia Kerja Menggunakan Algoritma Naive Bayes dan K-Nearest Neighbor Tiska Pattiasina; Stenly Ronaldo Titioka; Frangky Jansens Louth; Grace Fredriksz; Join Rachel Luturmas; Andrie CH Salhuteru; Febiola Matuankotta; Laura S Nunumete
Jurnal Teknologi Informasi Mura (JTI) Vol. 18 No. 2 (2026): Jurnal Teknologi Informasi Mura JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i2.3154

Abstract

Financial preparation is an important factor for final year students in facing the world of work. This study aims to classify the financial readiness of final year students using the Naive Bayes and K-Nearest Neighbor (K-NN) algorithms based on 15 attributes related to economic conditions, financial behavior, and financial literacy. Data were obtained from 85 final year students of the Business Administration Department of Ambon State Polytechnic and processed using the Synthetic Minority Over-sampling Technique (SMOTE) technique to address class imbalance. Testing was conducted using WEKA software with a 10-fold cross-validation method. The results showed that the Naive Bayes algorithm produced an accuracy of 96.6667%, a precision of 96.7%, a recall of 96.7%, and an ROC Area of ​​0.9988. Meanwhile, the K-Nearest Neighbor (K-NN) algorithm produced an accuracy of 80.0%, a precision of 80.4%, a recall of 80.0%, and an ROC Area of ​​0.8703. These results indicate that Naive Bayes outperforms K-NN in classifying the financial readiness of final-year students. Furthermore, the application of SMOTE has been shown to improve the model's ability to recognize minority classes, resulting in a more balanced and representative classification.
Klasifikasi Persiapan Keuangan Mahasiswa Tingkat Akhir dalam Menghadapi Dunia Kerja Menggunakan Algoritma Naive Bayes dan K-Nearest Neighbor Tiska Pattiasina; Stenly Ronaldo Titioka; Frangky Jansens Louth; Grace Fredriksz; Join Rachel Luturmas; Andrie CH Salhuteru; Febiola Matuankotta; Laura S Nunumete
Jurnal Teknologi Informasi Mura (JTI) Vol. 18 No. 2 (2026): Jurnal Teknologi Informasi Mura JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i2.3154

Abstract

Financial preparation is an important factor for final year students in facing the world of work. This study aims to classify the financial readiness of final year students using the Naive Bayes and K-Nearest Neighbor (K-NN) algorithms based on 15 attributes related to economic conditions, financial behavior, and financial literacy. Data were obtained from 85 final year students of the Business Administration Department of Ambon State Polytechnic and processed using the Synthetic Minority Over-sampling Technique (SMOTE) technique to address class imbalance. Testing was conducted using WEKA software with a 10-fold cross-validation method. The results showed that the Naive Bayes algorithm produced an accuracy of 96.6667%, a precision of 96.7%, a recall of 96.7%, and an ROC Area of ​​0.9988. Meanwhile, the K-Nearest Neighbor (K-NN) algorithm produced an accuracy of 80.0%, a precision of 80.4%, a recall of 80.0%, and an ROC Area of ​​0.8703. These results indicate that Naive Bayes outperforms K-NN in classifying the financial readiness of final-year students. Furthermore, the application of SMOTE has been shown to improve the model's ability to recognize minority classes, resulting in a more balanced and representative classification.
Co-Authors Abdullah Sombalatu Andrie CH Salhuteru Aprilian Tampi Ashwin Siahainenia Frangky Jansens Louth Grace Fredriksz Janet Beatric Tutuarima Join Rachel Luturmas Laura S Nunumete Revelino Tamaela Saptenno, Sammy Sherly Rutumalessy Stenly Ronaldo Titioka Tiska Pattiasina