Garuda - Garba Rujukan Digital

PELATIHAN PENGOLAHAN CUMI-CUMI BAGI KELOMPOK PEMBERDAYAAN UMKM JEMAAT GPM NOLLOTH Fredriksz, Grace; Luturmas, Join R.; Matuankotta, Febiola; Tahalele, Marie Ch.; Sapulette, Alvian; Hursepuny, Harold; Salhuteru, Andrie Ch.; Hahury, Jessy J.; Alvonso, Poserattu V.; Siahainenia, Ashwin
JURNAL PENGABDIAN MASYARAKAT JAMAK Vol. 8 No. 1 (2025): Juni
Publisher : Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jpmj.v8i1.3357

Desa Nolloth di Kecamatan Saparua Timur memiliki potensi besar pada sektor perikanan, khususnya hasil tangkapan cumi-cumi. Namun, pemanfaatan hasil laut ini masih terbatas pada penjualan bahan mentah dengan nilai ekonomi yang rendah. Pengabdian ini bertujuan untuk memberdayakan kelompok UMKM Jemaat GPM Nolloth melalui pelatihan pengolahan cumi menjadi sambal cumi kemasan. Metode pelaksanaan meliputi pendekatan partisipatif, pelatihan teknis pengolahan dan pengemasan produk, edukasi sanitasi, pemasaran digital, serta pembentukan kelompok produksi kecil. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan dan keterampilan peserta, terbentuknya produk siap jual, serta munculnya komitmen berkelanjutan dari jemaat. Pelatihan ini tidak hanya meningkatkan nilai jual cumi, tetapi juga mendorong kewirausahaan berbasis potensi lokal dan ketahanan ekonomi masyarakat pesisir. Program ini diharapkan menjadi model pemberdayaan yang dapat direplikasi pada komunitas serupa di wilayah lain. Kata kunci: sambal cumi; UMKM; pemberdayaan masyarakat; pelatihan pengolahan

Peningkatan Literasi Digital dan Keamanan Siber Bagi Siswa SMAS BPD Tobelo Selatan Pattiasina, Tiska; Luturmas, Join Rachel; Fredriksz, Grace; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 5, No 4 (2025): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v5i4.1093

The development of digital technology has had a significant impact on high school students, particularly in their use of the internet and social media. However, the lack of digital literacy and cybersecurity awareness remains a problem that needs to be addressed. This community service activity aims to improve digital literacy and cybersecurity understanding among students at SMAS BPD Tobelo Selatan. The methods used included lectures, discussions, and QA sessions, with material covering digital literacy, social media ethics, cyberbullying, hoaxes, and personal data protection. The activity was held offline on September 7, 2025, with 15 students participating. Evaluation was conducted using a Guttman Scale questionnaire to assess participant responses to the activity. Results showed that all students (100%) expressed satisfaction, indicating that the activity successfully improved students' understanding of digital literacy and cybersecurity. Therefore, this community service activity makes a positive contribution in equipping students with wise, safe, and responsible digital skills to face the challenges of the digital era.

Motivasi Kerja sebagai Variabel Intervening antara Budaya Organisasi dan Gaya Kepemimpinan terhadap Kepuasan Kerja Fredriksz, Grace; Fredriksz, Shirley
Public Policy Jurnal Aplikasi Kebijakan Publik dan Bisnis
Publisher : Lembaga Penelitian & Pengabdian Masyarakat (LPPM) STIA Said Perintah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/PublicPolicy.v5.i1.p137-153

Agriculture is the field closest to people's lives, especially in rural areas. The government must continue to provide advice and in this case the Western Moluccas Department of Agriculture is responsible for contributing to these activities. Therefore, it is necessary to prepare quality human resources. The purpose of this study is to determine the influence of organizational culture and leadership style on job satisfaction through motivation in the SBB District Department of Agriculture. The sampling technique used in this study is purposive sampling technique and the research sample includes 42 employees. The data obtained through the distribution of questionnaires were then analyzed using inferential statistical analysis techniques, specifically Partial Least Squares (PLS) with Smart-PLS 3 software. This study shows that organizational culture and leadership style do not directly affect job satisfaction. However, organizational culture and leadership style have an indirect impact on job satisfaction through work motivation.

PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Pattiasina, Tiska; Fredriksz, Grace; Luturmas, Join Rachel; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.

PERBANDINGAN KINERJA ALGORITMA SVM DAN NAIVE BAYES PADA KLASIFIKASI PRESTASI AKADEMIK SISWA: STUDI KASUS SMAS BPD TOBELO SELATAN Pattiasina, Tiska; Fredriksz, Grace; Luturmas, Join Rachel; Salhuteru, Andrie CH; Matuankotta, Febiola; Nunumete, Laura S; Jupriyanto, Jupriyanto
Jurnal Teknologi Informasi Mura Vol 18 No 1 (2026): Jurnal Teknologi Informasi Mura
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v18i1.2915

Students’ academic achievement is an important indicator of the success of the educational process; however, its assessment is often subjective and not yet fully data-driven. Therefore, a systematic analytical approach is required to classify students’ academic achievement objectively and accurately. This study aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes algorithms in classifying the academic achievement of grade III students at SMAS BPD Tobelo Selatan. A data mining approach using classification techniques was applied, involving 17 attributes as predictor variables and two target classes of academic achievement, namely Very Good and Good. Data processing and model evaluation were conducted using the WEKA software, with performance measured through accuracy, precision, recall, and the Area Under the Receiver Operating Characteristic Curve (AUC-ROC). The results indicate that the SVM algorithm achieves the best performance in terms of accuracy, precision, and recall, each reaching 97.78%, while the Naive Bayes algorithm obtains the highest AUC-ROC value of 98.08%. These findings demonstrate that SVM is superior in prediction accuracy, whereas Naive Bayes shows excellent capability in class discrimination. This study is expected to support data-driven academic decision-making in school environments.

ANALISIS BREAK EVEN POINT (BEP) PADA PRODUK PINTU MEUBEL UD. NADYA GALUNGGUNG AMBON Nadia, Nadia; Fredriksz, Grace; Louth, Frangky J.
Jurnal Administrasi Terapan Vol. 1 (2022): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar

The purpose of this research is to calculate and analyze the break-even point on UD Furniture door products. Nadya Galunggung in 2019. The development of door product production at UD Furniture. Nadya Galunggung in 2019 it can be said that the amount of production is unstable, causing the number of production requests to fluctuate. So far, the magnitude of the benefits obtained is not known with certainty. Because until now the Furniture UD. Nadya Galunggung does not calculate the break-even point to plan their operating profit in the coming period.The data analysis technique used to analyze or calculate the break-even point on UD Furniture door products. Nadya Galunggung, the author uses a mathematical approach and a graphical approach and then proves the break-even point (TR=RC). From the analysis of the break-even point, it is expected that UD Furniture. Nadya Galunggung can use it as an input in developing company activities, especially in knowing the benefits.The conclusion of this paper is from the results of the calculation of break-even point analysis based on 2019 data, the production volume of UD Furniture doors. Nadya Galunggung obtained a break-even point in units of 241 units of doors and in rupiah of Rp. 438,508,000. Then the production volume of UD Furniture doors is obtained. Nadya Galunggung occurs when the production volume is 241 units of doors, if the selling price is considered fixed, namely Rp. 1,400,000 per door unit, then the revenue obtained at the break-even point is when the production volume value is Rp. 438,508,000. These figures can be a reference for UD Furniture. Nadya Galunggung to plan minimum sales to make a profit. Keyword: Break-even Point

RAMALAN PRODUKSI KURSI SOFA PADA MEBEL ERLAN HATIVE BESAR DI KOTA AMBON Tampi, Aprilian; Matuankotta, Febiola; Fredriksz, Grace
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

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 Â

PENATAAN ARSIP PADA KANTOR DESA NEGERI LARIKE Latuapo, Siti Jainab; Fredriksz, Grace; Wijaya, Febiyola
Jurnal Administrasi Terapan Vol. 2 No. 2 (2023): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v2i2.1691

Archive management at the Larike Village Office is not very good in the sense that the archives have not been stored, recorded, documented and neatly arranged so that when needed it takes 15 minutes while searching for archives is approximately 1 minute. The filing facility at the Larike Negeri Village office is 1 cupboard in which there are folders. The employee only records outgoing letters in the agenda book and does not record incoming letters, but the recording is still not correct and after recording the employee places the letters on the employee's desk, there is also a wooden cupboard. This makes the letters are not archived properly, easily scattered and lost. When the leader asks for a letter, his employees have difficulty finding the letter back. The purpose of this writing is to find out about good archive management at the Larike Village office. The method used in this paper is qualitative analysis, that describe problems based on theories and expert opinions. The results of the discussion are providing input or solutions regarding the arrangement of archives using an alphabetic system, so that it can facilitate the search or retrieval of archives, employees must attend archiving training. The conclusion of this study the archive management system at the Larike Village office was not very good because it was not in accordance with existing procedures. Archive storage facilities are inadequate. Employees who handle archives have not attended archiving training so that the arrangement of archives at the Larike Village office is irregular in accordance with existing provisions Keywords: management, archive, office

Analisis Pengaruh Likuiditas Terhadap Profitabilitas PT. BPD Maluku Malut (Persero) Tentua, Julvana S.; Saptenno, Sammy; Fredriksz, Grace
Jurnal Administrasi Terapan Vol. 3 No. 2 (2024): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v3i2.2868

BPD Maluku Malut (Persero), a regional government-owned enterprise operating in the banking sector, was established by the local government to increase regional revenueâ€”a phenomenon observed at PT. BPD Maluku Malut (Persero) is that the ability to generate profit is inversely related to liquidity. Increased liquidity represents a cost of decreased profitability. This research aims to prove the influence of liquidity on profitability at PT empirically. BPD Maluku Malut (Persero). Using a quantitative approach, this study attempts to examine the influence of liquidity, represented by the Current Ratio and Quick Ratio, on profitability, represented by Return On Asset, at PT. BPD Maluku Malut (Persero). The data used is secondary data obtained from PT's financial statements. BPD Maluku Malut (Persero) for the period from 2013 to 2018. The method used in this research is multiple linear regression analysis. Based on the results of data analysis using the statistical method of multiple linear regression with the help of SPSS software, the Current Ratio has a significance value of 0.097, and the Quick Ratio has a significance value of 0.66. These results suggest that the Current Ratio and Quick Ratio do not significantly affect Return On assets Keywords: Liquidity, Profitability, Current Ratio, Quick Ratio and Return On Assets

AI-Driven Green Technology Adoption and Sustainable Tourism Behavior: An Extended Technology Acceptance Model Aunalal, Zany Irayati; Salhuteru, Andrie Christina; Kriekhoff, Shella; Hahury, Jessy Juniu; Fredriksz, Grace
Indonesian Journal of Enterprise Architecture Vol. 3 No. 2 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i2.427

This study examines the determinants of AI-driven green technology adoption and their implications for sustainable tourism behavior in environmentally sensitive destinations. Drawing on the Technology Acceptance Model, the study extends the framework by incorporating green technology trust and environmental concern to explain how users form attitudes toward AI-enabled green tourism technologies and how these attitudes translate into sustainable behavioral intention and actual behavior. Data were collected through a survey and analyzed using Partial Least Squares Structural Equation Modeling. The results show that perceived ease of use (β = 0.388; t = 10.819), green technology trust (β = 0.274; t = 7.670), and environmental concern (β = 0.194; t = 4.993) significantly influence attitudes toward green tourism technologies. In addition, attitude has a significant positive effect on sustainable behavioral intention (β = 0.545; t = 17.218), which subsequently exerts a strong effect on actual sustainable tourism behavior (β = 0.656; t = 24.675). These findings suggest that accessible, reliable, and environmentally credible AI-enabled tourism technologies can strengthen responsible tourism practices. The study contributes to the literature by demonstrating that technology-related perceptions and pro-environmental orientation jointly shape sustainable tourism behavior. It also offers practical implications for destination managers and tourism service providers seeking to design digital sustainability initiatives in ecologically fragile tourism contexts.

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